I dropped my head, letting my hair fall to conceal my face. 我低下了我的头,让我的头发垂下来隐藏我的脸. I was sure,though, in the instant our eyes met, that he didn't look harsh or unfriendly as he had the last time I'd seen him. 我能保证,尽管,在看见我眼睛的瞬间,他看起来并没有最后一次我看见他那样严厉和不友好…

The girls were opposites. The tall one was statuesque. 女生却相反,高的像雕像一般 She had a beautiful figure, the kind you saw on the cover of the Sports Illustratedswimsuit issue, the kind that made every girl around her take a hit on her self-esteem just by bei…

Suddenly the sidewalk disappeared from beneath me. My eyes flew open in shock. 突然我身下的人行道消失了.我飞快的睁开眼睛. Edward had scooped me up in his arms, as easily as if I weighed ten pounds instead of a hundred and ten. Edward把我抱在双臂之间,轻松的就好像只有10磅而不是110磅. "Put me…

(搬运)<算法导论>习题解答 Chapter 22.1-1(入度和出度) 思路:遍历邻接列表即可; 伪代码: for u 属于 Vertex for v属于 Adj[u] outdegree[u]++; indegree[v]++; 源代码: package C22; import java.util.Iterator; public class C1_1 { static int[] indegree; static int[] outdegree; static Adjacent_List…

原文:零元学Expression Blend 4 Chapter 22 以实作案例学习Frame及HyperlinkButton 本章将教大家如何以实作善用Blend4的内建功能-「Frame」以及「HyperlinkButton」 本章将教大家如何以实作善用Blend4的内建功能-「Frame」以及「HyperlinkButton」 附上简单的范例,请点击进行换页,并注意换页内容 范例请点我 ? 跟着范例做做看吧! 01 使用小猴子附上的的范例档案,或是自己做一个类似下图的版面 ? (范例内的…

思路:设置两个游标i指向行,j指向列,如果arr[i][j]==1,则i=max{i+1,j},j++:如果arr[i][j]==0,则j=max{i+1,j+1}. 伪代码: has_universal_sink() for i=1 to N //对角线检查是否全是0 if A[i][i]==1 return false; i=1,j=2 while(i<=N && j<=N) if(A[i][j]==1) i=max{i+1,j} j++ else j=max{i+1,j+…

一.邻接矩阵实现 思路:如果是邻接矩阵存储,设邻接矩阵为A,则A*A即为平方图,只需要矩阵相乘即可: 伪代码: for i=1 to n for j=1 to n for k=1 to n result[i][j]+=matrix[i][k]*matrix[k][j]; 算法复杂度 两个n维数组相乘,因此复杂度为O(V^3),当然可以通过Strassen算法稍加改进. 扩展:这种方法的作用是比如求u到v路径长度为k的路径数目,只需要求A^k,然后[u][v]即可. 算法正确性分析 命题:给定两点…

思路:重开一个新图,按着邻接列表的顺序从上到下遍历,每遍历一行链表前,清空visited数组,如果没有访问过这个元素,则加入新图,如果已经访问过了(重边),则不动. 伪代码: 复杂度:O(V+E) for each u 属于 Vertex visited[u] = false; for u 属于 Vertex visited[u] = true; for v 属于 Adj[u] if(!visited[v]) Adj1[u].insert(v); visited[v] = true; for v…

目录 22.1 The target trial 22.2 Causal effects in randomized trails 22.3 Causal effects in observational analyses that emulate a target trial 22.4 Time zero 22.5 A unified analysis for causal inference Fine Point Grace periods Technical Point Controlle…

一般散列表都与B+树进行比较,包括在信息检索中也是. 确定某条边是否存在需要O(1). 不足: (1)散列冲突. (2)哈希函数需要不断变化以适应需求. 另外:B+树.(见第18章) 与散列表相比的不足: (1)插入需要O(lgn) (2)树要保持平衡. (原文点此,索引目录.感谢xiazdong君 && Google酱.这里是偶尔做做搬运工的水果君(^_^) )…